Understanding Subjective Aspects in the Use of Human Computer Interface for Government Information Systems: A Reflexive Analysis
File version
Accepted Manuscript (AM)
Author(s)
Houghton, Luke
Sanzogni, Louis
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Jakarta, INDONESIA
License
Abstract
Computer application users continue to argue that system developers are still not paying enough attention to making their products easier to use or "user-friendly." However, system developers might argue that the human computer interface (HCI) or particularly human-system interface (HSI) used for their systems are carefully designed and developed. They would also claim that the request for the services information systems can provide, normally outdrives the demand for ease-of-use and usefulness. This occurs despite other aspects that could influence "attitude toward using" and "usage behavior" which affect successful adoption of Information Systems (IS). This paper presents the main outcomes of a mix-method study which proposes an adapted theory that empirically supported the identification of different factors clustered by aspects. These aspects affect IS adoption in public organizations of emerging countries. For this purpose, a public Ecuadorian organization is used as the analysis case. Hence, with the use of a reflexive analysis, we highlight the effect of subjective aspects such as Perceived Ease of Use, Perceived Usefulness directly affecting Attitude Toward Using and Usage Behaviour. These are critical factors which influence the successful information system adoption (SISA) in specific local contexts. Therefore, the cautious design of human computer interfaces must be considered when developing an IS for public organizations due to their direct impact on Attitude Toward Using and Usage Behaviour on SISA.
Journal Title
Conference Title
PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (CSAI 2017)
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence, ISBN: 978-1-4503-5392-2, DOI: 10.1145/3168390.3168443
Item Access Status
Note
Access the data
Related item(s)
Subject
Human-computer interaction